There have been numerous studies on metal artifact reduction (MAR) in computed tomography (CT) imaging, which include sinogram inpainting-based correction [1]}, [2]}, [3]}, [4]}, [5]}, statistical iterative correction [6]}, [7]}, [8]}, [9]}, [10]}, and dual-energy reconstruction approaches [11]}, [12]}, [13]}. However, existing MAR methods are not fully satisfactory for clinical use. The inpainting-based correction approach can generate secondary artifacts owing to inaccurate interpolation along the metal trace in the sinogram. The statistical iterative correction and dual-energy approaches require a large computational cost and an additional radiation dose, respectively.
